What the data for this category looks like
The data for this category mainly comes from customer interviews, bidding documents, vendor product materials, and historical project plans, with an update cycle of per order or weekly. Daily produced documents include technical proposal documents, customer requirement survey forms, quotation lists, and demo scripts. The document structure usually centers on core modules such as requirement clarification items, technical roadmap, implementation boundaries, and cost accounting. Fields cover interface call scope, permission configuration requirements, batch execution node design, and other items. There is no unified fixed unit standard, and adjustments must be made based on specific customer scenarios.
What constraints these characteristics impose on HTTP interfaces and external systems
Since the data sources for this category are scattered and update frequency is high, HTTP interfaces must support dynamic adjustment of the variables parameter to adapt to the demand boundaries of different customers. The permission configuration requirements included in the documents require the interface to verify call legitimacy through the Authorization field. At the same time, because a single proposal must match the actual scenario of a specific customer, the configuration of batch execution nodes must reserve flexible adjustment space to avoid mismatches between the proposal and actual requirements due to fixed parameters. In addition, the proposal must retain complete call logs for review, and the responseData of the interface must fully record return results and error information.
How to configure the settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Basic Auth account and password configuration | Extract corresponding credentials from the customer requirement survey form, calibrate based on actual testing | Data for this category comes from customer requirement survey forms, and must match the interface access permissions provided by the customer |
| Get conversation record list interface offset | Value range is 0 to 1000 entries | Adapt to the paging starting position required by customer needs, and comply with the query scope requirements of pre-sales proposals |
| Batch execution node loop count | Value range is 1 to 500 times | Match the actual business scale of the customer, and avoid exceeding interface call limits |
| HTTP interface call timeout period | Value range is 300 to 900 seconds | Adapt to the business response requirements of the customer, and avoid solution failure due to timeout |
Authorization field configuration | Bind the customer permission identifier corresponding to the proposal, with the value Basic {base64-encoded account and password} | Must pass interface verification for legitimate calls, and comply with the permission boundary requirements of pre-sales proposals |
responseData log storage | Retain complete return results and error information, with a storage duration of 7 days | The update frequency of data for this category is weekly, and logs must be retained for proposal review and requirement clarification |
Three common configuration errors
- Symptom: After calling the get conversation record list interface, the returned results cannot distinguish between user questions and corresponding AI replies, and some associated fields are empty. Cause: The
responseDataextraction logic is not configured according to the field mapping rules agreed in the pre-sales technical proposal, resulting in lost data association relationships. - Symptom: When configuring batch execution nodes to call large models in FastGPT v4.17.0, the online debugging can fully execute the process, but only part of the loop tasks are completed when calling via API. Cause: The batch task concurrency parameter in
variablesis not adjusted, and the concurrency limit of API calls is inconsistent with the online debugging environment, resulting in early termination of tasks. - Symptom: After configuring the Basic Auth HTTP module, the interface call returns a 401 Unauthorized error. Cause: The correct account and password are not extracted from the customer requirement survey form, and general credentials are used directly without matching the interface access permissions provided by the customer.
How to confirm the configuration is complete
- Call the get conversation record list interface, check whether the returned results include the associated fields of user questions and AI replies, and whether the association relationship matches the agreement in the pre-sales technical proposal.
- Check whether the
Authorizationfield configuration matches the permission credentials provided by the customer, and verify legitimacy by initiating a single call via an interface debugging tool. - After configuring the batch execution nodes, initiate a test task matching the customer's business scale via API call, and check whether the task execution is complete without mid-task interruptions.
- Check whether the
responseDatalog fully records the interface call return results and error information, and complies with the review and retention standards required in the proposal.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.